It is well known [1]} that models using a balanced static batch can have higher performances respect to those that use an imbalanced dataset. It can be interesting to know if this aspect is valid for streaming methods, too. Our proposal is a meta strategy, as Swt, called RebalanceStream able to rebalance a stream and train a model with it. It is represented as pseudo-code in Alg. . The full code is available online on a GitHub repositoryhttps://github.com/alessiobernardo/RebalanceDataStream.
